# Examples

- [GPT2: 900+RPS](https://docs.everinfer.ai/examples/gpt2-900+rps.md): Run GPT-2 at 900+RPS and 6ms latency!
- [BERT With Zero Overhead](https://docs.everinfer.ai/examples/bert-with-zero-overhead.md): Run BERT on remote machines with 1ms overhead.
- [Segformer from HuggingFace](https://docs.everinfer.ai/examples/segformer-from-huggingface.md): Deploy SegFormer to serverless machines with 4 lines of code
- [Stable Diffusion: Decouple GPU Ops from Code](https://docs.everinfer.ai/examples/stable-diffusion-decouple-gpu-ops-from-code.md)


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.everinfer.ai/examples.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
